• Desenvolver e manter camadas analíticas focadas no consumo de negócios • Traduzir necessidades de negócios em modelos de dados escaláveis e reutilizáveis • Garantir qualidade, documentação e governança de ativos analíticos • Colaborar com Engenheiros de Dados para evoluir pipelines e conjuntos de dados • Construir métricas corporativas e camadas semânticas para consumo em Power BI e Metabase • Apoiar iniciativas de Self-Service Analytics • Participar da definição e adoção de catálogos de dados e documentação técnica • Atuar como um elo entre equipes técnicas e partes interessadas de negócios

Role Description We're hiring a Senior Analytics Engineer to own the analytics layer that powers data-driven decisions across Nscale's GPU procurement and hardware supply chain. In this role, you'll sit within the Supply Chain Analytics & Automation team and build in Palantir Foundry, creating the output datasets, data models, and reporting products that teams use directly. You'll work closely with Supply Chain, Finance, Capacity stakeholders, the C-suite, and data engineering, serving as the link between business decision-making and the underlying data required to support it. This is a senior individual contributor role and the first analytics hire on the team, giving you the opportunity to set standards for quality, documentation, and architectural decision-making from the ground up. Your work will shape how critical supply chain decisions are understood, trusted, and acted on as Nscale continues to scale. What you'll be doing - Own the analytics layer - Build output datasets, data models, and reporting products in Palantir Foundry - Design analytical outputs that business stakeholders can use directly - Maintain the reporting layer that supports decision-making across the organization - Partner across technical and business teams - Serve as the primary interface between the analytics team and data engineering - Assess what data exists, what shape it is in, and what needs to be built or changed to answer business questions - Partner with Supply Chain, Finance, and Capacity stakeholders to translate decisions into analytical requirements - Communicate effectively with both technical and non-technical audiences, including senior stakeholders - Set quality and operating standards - Define engineering standards for analytical outputs - Establish documentation standards, including assumption documentation and version control - Implement reconciliation checks to ensure analytical outputs are accurate and trusted - Raise the quality bar for how analytics work is produced and maintained - Shape the future of the function - Make architectural decisions that shape the analytics layer as the team grows - Set expectations for what strong analytical work looks like in a fast-moving environment - Hire and onboard analysts over time, helping define the foundation for future team members KPIs - Quality and reconciliation accuracy of analytical outputs - Delivery of trusted Foundry datasets, models, and reporting products - Stakeholder adoption across Supply Chain, Finance, Capacity, and leadership - Analytics documentation and standards maturity Qualifications - 5+ years of experience in an analytics engineering or senior analytics role, including work in at least one production environment at meaningful scale - Strong experience with SQL, data modelling, and data transformation - Palantir Foundry experience strongly preferred, with comparable platform experience also considered - Demonstrated ability to build analytical outputs, datasets, models, and reporting layers used by business stakeholders - Strong instinct for data quality and a high bar for reconciliation and accuracy - Experience working across technical and non-technical stakeholders - Ability to write a clear data spec for engineers and a concise summary for C-suite audiences - Track record of making strong architectural decisions in fast-moving environments with incomplete requirements - Background in supply chain, procurement, hardware, or AI/cloud infrastructure is a meaningful bonus Benefits - Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months - Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed - Expect a dynamic progression plan tailored to your ambitions - Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments

• Proactively monitors adherence to service level agreements (SLAs) using ServiceNow dashboards and performance reports, escalating deviations to program leadership. • Drives continuous service improvement by conducting in-depth analysis of service desk performance metrics and delivering data-driven corrective action recommendations. • Performs high-level systems analysis, evaluation, design, integration, documentation, and implementation of very complex applications requiring thorough knowledge of administrative and technical skills. • Participates in all phases of system development with emphasis on planning, analysis, evaluation, integration, testing, and acceptance phases (IV&V and DT&E). • Applies higher-level business or technical principles and methods to very difficult technical problems to arrive at automated engineering solutions. • Designs, analyzes, and maintains highly complex enterprise infrastructure environments to support J6 service delivery operations. • Develops performance measurements including goals, metrics, and reports utilizing the current service desk platform; facilitates a feedback system to team members on customer service, communication, and technical skills to enhance the quality of support delivered. • Develops and provides regular Service Desk metrics reports to program leadership and Government stakeholders. • Manages the implementation of an enterprise knowledge base and knowledge management best practices to ensure consistent, high-quality service delivery. • Collaborates with IT support teams and section leads to design and implement continuous service improvement initiatives aligned with J6 mission objectives. • Ensures J6 customer requirements for Service Desk performance are met consistently and in alignment with contractual obligations. • Analyzes tickets, calls, emails, and web chat interactions to provide Interaction and Ticket Trend Reports, characterizing the nature and volume of change in call and ticket volume and handling time. • Generates ad hoc and repeatable Interaction and Ticket Forecast Reports using supporting tools including Active Directory accounts, Asset Reports, and Mobile Device Usage Reports. • Provides business and data visualization dashboards in graphical format to inform Government leadership regarding patterns, trends, and correlations, enabling data-driven decision-making. • Forecasts future interaction volumes, handle times, staffing requirements, and schedules to ensure adequate J6 Service Desk coverage and performance.

• Build and maintain scalable ETL/ELT pipelines to ingest structured and unstructured data into the data warehouse. • Develop and optimize data models to support reporting, dashboards, and operational insights. • Write clean, efficient, and reusable SQL and Python code to transform raw data into business-ready outputs. • Collaborate with analytics and business stakeholders to understand data requirements and deliver practical solutions. • Monitor pipeline performance and ensure reliability, accuracy, and timeliness of data flows. • Design frameworks for triggering AI workflows based on business rules and data events. • Serve as a subject matter expert on data best practices, including schema design, data governance, and data security. • Partner with cross-functional teams to align data assets with enterprise goals, AI enablement, and automation strategies. • Drive adoption of new data tools and methodologies, such as DBT, Iceberg, or similar modern data stack technologies. • All other duties as assigned.